The Internet of Things (IoT) creates an environment where things are permitted to act, hear, listen, and talk. IoT devices encompass a wide range objects, from basic sensors intelligent devices, capable exchanging information with or without human intervention. However, the integration wireless nodes in systems brings about both advantages challenges. While connectivity enhances system function...

Dam safety is an important basic part of national water network security. Building a dam deformation prediction model based on monitoring data crucial to ensure safety. However, traditional statistical regression methods have shortcomings, such as weak nonlinear fitting ability when constructing and models. The residual the results usually contains parts that cannot be effectively explained by ...

This paper presents the optimal scheduling of active distribution network (ADN) with linear and non-linear loads in presence an integrated unit electric spring vehicle parking lot (IUEE). The proposed scheme is formulated form three-objective optimization, which minimizes expected operating cost ADN, voltage deviation function (VDF), total harmonic distortion (THD) separate objective functions....

Advanced global optimization algorithms have been continuously introduced and improved to solve various complex design optimization problems for which the objective and constraint functions can only be evaluated through computation intensive numerical analyses or simulations with a large number of design variables. The often implicit, multimodal, and ill-shaped objective and constraint function...

Efficient fault diagnosis of power transformer can effectively ensure the safe and stable operation system. Considering that effect traditional Random Forest (RF) is seriously affected by initial parameters, this paper proposes a RF algorithm based on Grey Wolf Optimization (GWO-RF) to improve accuracy identification. The uses GWO optimize total number decision trees depth maximum tree, balanci...

This paper proposes an efficient load frequency control (LFC) technique based on a fractional-order proportional–integral–derivative–accelerator with low-pass filter compensator (FOPIDA-LPF) controller, which can also be accurately referred to as the PIλDND2N2 controller. A trustworthy metaheuristic optimization algorithm, known gray wolf optimizer (GWO), is used fine-tune suggested controller ...

With the rapid development of economy, disparity between supply and demand resources is becoming increasingly prominent in engineering design. In this paper, an improved gray wolf optimization algorithm proposed (IGWO) to optimize design problems. First, a tent map used generate initial location population, which evenly distributes population lays foundation for diversified global search proces...

Abstract In the field of transformer fault diagnosis, there are many diagnostic methods. These methods either not high accuracy or used too long. this paper, a dimension learning-based hunting (DLH) search strategy optimization grey wolf algorithm support vector machine (DLH-GWO-SVM) model was proposed. process initializing population, logistic chaotic mapping to improve quality initial positio...

Reliability allocation to increase the total reliability has become a successful way efficiency of complex industrial system designs. A lot research in past have tackled this problem great extent. This is evident from different techniques developed so far achieve target. Stochastic metaheuristics like simulated annealing, Tabu search (TS), Particle Swarm Optimization (PSO), Cuckoo Search (CS), ...

Photovoltaic (PV) systems suffer from partial shade and nonuniform irradiance conditions. Meanwhile, each PV module has a bypass shunt diode (BSD) to prevent hotspots. BSD also causes series of peak in the power-voltage characteristics array, trapping traditional maximum Power Point Tracking (MPPT) methods local peaks. This study aims address these challenges by combining cuckoo search (CS), gr...